Teaching

Foundations of Machine Learning (3A, École polytechnique)

Machine Learning 2 (M1 MScT Data Science and Artificial Intelligence for Business, X/HEC)

AI for Cybersecurity (M2 MScT Cybersecurity, École polytechnique)

Lecture slides

Here are some slide sets that I have used for teaching. Do not hesitate to contact me if you have any comments (or have spotted any errors).

Foundations of Machine Learning (3A, École polytechnique)

Machine Learning 2 (M1 MScT Data Science and Artificial Intelligence for Business, X/HEC)

Introduction to Machine Learning (M2 Mathematics for Life Sciences, IPParis/Paris Saclay)

Introduction to Reinforcement Learning (M2 Data Science, IPP)

  • Slides (2025-2026)
  • Slides (2021-2022, previous version based on the book of Sutton and Barto)

Lecture Notes

Here are some documents that I have written for teaching purposes. Do not hesitate to contact me if you have any comments (or have spotted any errors).

Foundations of Machine Learning (3A, École polytechnique)

Introduction to Reinforcement Learning (M2 DS)

Signal Processing (3A, École polytechnique)

Convex Optimization (M2 Orsay)

Linear Models (Master Stafav, Yaoundé, Cameroon)

Time Series Analysis (M1 Paris Diderot)

Linking Approximation Theory and Statistical Estimation in Wavelet Image Processing (Havana, Cuba)

Previous years

2025-2026
Foundations of Machine Learning (3A, École polytechnique), Machine Learning 2 (M1 MScT Data Science and Artificial Intelligence for Business, X/HEC), AI for Cybersecurity (M2 MScT Cybersecurity, École polytechnique)
2024-2025
Introduction to Machine Learning (M2 MSV), Introduction to Reinforcement Learning (M2 DS), Foundations of Machine Learning (3A, École polytechnique), Machine Learning 2 (DSB)
2023-2024
Introduction to Machine Learning (M2 MSV), Introduction to Reinforcement Learning (M2 DS), Foundations of Machine Learning (3A, École polytechnique), Machine Learning 2 (DSB)
2022-2023
Introduction to Machine Learning (M2 MSV), Introduction to Reinforcement Learning (M2 DS), Foundations of Machine Learning (3A, École polytechnique), Machine Learning 2 (DSB)
2021-2022
Introduction to Machine Learning (M2 MSV), Introduction to Reinforcement Learning (M2 DS), Foundations of Machine Learning (3A, École polytechnique), Machine Learning 2 (DSB)
2020-2021
Introduction to Machine Learning (M2 MSV), Introduction to Reinforcement Learning (M2 DS), Introduction to Statistics (Bachelor X), Machine Learning 2 (3A, École polytechnique), Statistical Modeling Seminar (ENSAE)
2019-2020
Introduction to Machine Learning (M2 MSV), Introduction to Reinforcement Learning (M2 DS), Introduction to Statistics (Bachelor X), Machine Learning 2 (3A, École polytechnique), Nanterre
2018-2019
Introduction to Reinforcement Learning (M2 DS), Machine Learning 2 (3A, École polytechnique, M1 DSB), MicroBig, ATSI, ENSAE